Case Study: a largest private sector bank achieves faster personalized banking and big data processing with Persistent Systems and Google BigQuery

Banking major’s big bets on big data delivers personalized banking solutions and increases sales

The customer, one of India's largest private sector banks, faced challenges in providing personalized services due to its inability to process huge volumes of daily unstructured customer data. To enhance customer engagement and improve decision-making, the bank required a robust, scalable analytics solution and engaged Persistent Systems for assistance.

Persistent Systems implemented a solution leveraging Google BigQuery to process and analyze millions of daily transactions. This reduced the bank's data processing time from over 24 hours to just 30 minutes, enabling a 360-degree customer view, faster time-to-market for new offerings, and the ability to deliver personalized products while ensuring data security and compliance.